---
base_model: vinai/bertweet-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bertweet-base-finetuned-hateful-meme
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# bertweet-base-finetuned-hateful-meme

This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6262
- Accuracy: 0.532

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5865        | 1.0   | 532  | 0.7576          | 0.564    |
| 0.5203        | 2.0   | 1064 | 0.8139          | 0.562    |
| 0.4746        | 3.0   | 1596 | 0.9082          | 0.566    |
| 0.4377        | 4.0   | 2128 | 1.0089          | 0.538    |
| 0.3858        | 5.0   | 2660 | 0.9339          | 0.558    |
| 0.3561        | 6.0   | 3192 | 1.0688          | 0.54     |
| 0.3292        | 7.0   | 3724 | 1.4158          | 0.532    |
| 0.3009        | 8.0   | 4256 | 1.3316          | 0.54     |
| 0.2831        | 9.0   | 4788 | 1.5418          | 0.532    |
| 0.269         | 10.0  | 5320 | 1.6262          | 0.532    |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3